{"id":"https://openalex.org/W2963842551","doi":"https://doi.org/10.1162/tacl_a_00029","title":"Learning to Remember Translation History with a Continuous Cache","display_name":"Learning to Remember Translation History with a Continuous Cache","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2963842551","doi":"https://doi.org/10.1162/tacl_a_00029","mag":"2963842551"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00029","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00029","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00029","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00029","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110579339","display_name":"Zhaopeng Tu","orcid":"https://orcid.org/0000-0002-7900-6055"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaopeng Tu","raw_affiliation_strings":["Tencent AI Lab,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab,","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086000078","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-3087-242X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Tsinghua University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087920747","display_name":"Shuming Shi","orcid":"https://orcid.org/0000-0001-7018-0682"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuming Shi","raw_affiliation_strings":["Tencent AI Lab,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab,","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378792","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-5511-2558"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["Tencent AI Lab,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab,","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086000078","https://openalex.org/A5087920747","https://openalex.org/A5100378792","https://openalex.org/A5110579339"],"corresponding_institution_ids":["https://openalex.org/I2250653659","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":23.6167,"has_fulltext":false,"cited_by_count":179,"citation_normalized_percentile":{"value":0.99544821,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"407","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9145019054412842},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6697129607200623},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5808274149894714},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5614954233169556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5185607075691223},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.46951812505722046},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45396268367767334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39145955443382263},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.10588902235031128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9145019054412842},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6697129607200623},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5808274149894714},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5614954233169556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5185607075691223},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.46951812505722046},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45396268367767334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39145955443382263},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.10588902235031128},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1162/tacl_a_00029","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00029","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00029","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-98545","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-98545","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:050ff049f6da4cc3be3a45cbb48e130d","is_oa":false,"landing_page_url":"https://doaj.org/article/050ff049f6da4cc3be3a45cbb48e130d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 6 (2021)","raw_type":"article"},{"id":"pmh:oai:repository.ust.hk:1783.1-98545","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=6&rft.issue=&rft.date=2018&rft.spage=407&rft.aulast=Tu&rft.aufirst=Zhaopeng%7C&rft.atitle=Learning%20to%20remember%20translation%20history%20with%20a%20continuous%20cache&rft.title=Transactions%20of%20the%20Association%20for%20Computational%20Linguistics","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00029","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00029","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00029","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G545337727","display_name":null,"funder_award_id":"61432013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8810487621","display_name":null,"funder_award_id":"61522204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963842551.pdf","grobid_xml":"https://content.openalex.org/works/W2963842551.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W16967297","https://openalex.org/W21337280","https://openalex.org/W44695385","https://openalex.org/W255975419","https://openalex.org/W1591706642","https://openalex.org/W1902237438","https://openalex.org/W1904365287","https://openalex.org/W1993378086","https://openalex.org/W2100664567","https://openalex.org/W2101105183","https://openalex.org/W2101566153","https://openalex.org/W2111305191","https://openalex.org/W2115161902","https://openalex.org/W2117045850","https://openalex.org/W2118434577","https://openalex.org/W2120615054","https://openalex.org/W2127836646","https://openalex.org/W2130942839","https://openalex.org/W2136353104","https://openalex.org/W2162245945","https://openalex.org/W2184135559","https://openalex.org/W2197913429","https://openalex.org/W2409591106","https://openalex.org/W2465346528","https://openalex.org/W2508661145","https://openalex.org/W2539201987","https://openalex.org/W2571859396","https://openalex.org/W2608029998","https://openalex.org/W2610661645","https://openalex.org/W2611029360","https://openalex.org/W2783419700","https://openalex.org/W2950527759","https://openalex.org/W2950635152","https://openalex.org/W2952136670","https://openalex.org/W2953044442","https://openalex.org/W2962790689","https://openalex.org/W2962883855","https://openalex.org/W2962944953","https://openalex.org/W2962945603","https://openalex.org/W2963077125","https://openalex.org/W2963260202","https://openalex.org/W2963463964","https://openalex.org/W2963506925","https://openalex.org/W2963551569","https://openalex.org/W2963899393","https://openalex.org/W2964093087","https://openalex.org/W2964165364","https://openalex.org/W2964267515","https://openalex.org/W2964298349","https://openalex.org/W2964308564","https://openalex.org/W3203909556","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W3151736118","https://openalex.org/W2775554247","https://openalex.org/W2883671469","https://openalex.org/W2110168585","https://openalex.org/W3107474891","https://openalex.org/W2250213760","https://openalex.org/W4386247111","https://openalex.org/W4327642362","https://openalex.org/W2587014613"],"abstract_inverted_index":{"Existing":[0],"neural":[1],"machine":[2],"translation":[3,42,56],"(NMT)":[4],"models":[5,28,64],"generally":[6],"translate":[7],"sentences":[8],"in":[9],"isolation,":[10],"missing":[11],"the":[12,55,60,66,83,86,93],"opportunity":[13],"to":[14,25,68],"take":[15],"advantage":[16],"of":[17,85],"document-level":[18],"information.":[19],"In":[20],"this":[21],"work,":[22],"we":[23],"propose":[24],"augment":[26],"NMT":[27,63],"with":[29,65,77,89],"a":[30],"very":[31],"light-weight":[32],"cache-like":[33],"memory":[34],"network,":[35],"which":[36],"stores":[37],"recent":[38],"hidden":[39],"representations":[40],"as":[41],"history.":[43],"The":[44],"probability":[45],"distribution":[46],"over":[47,71],"generated":[48],"words":[49],"is":[50],"updated":[51],"online":[52],"depending":[53],"on":[54,74,92],"history":[57],"retrieved":[58],"from":[59],"memory,":[61],"endowing":[62],"capability":[67],"dynamically":[69],"adapt":[70],"time.":[72],"Experiments":[73],"multiple":[75],"domains":[76],"different":[78],"topics":[79],"and":[80],"styles":[81],"show":[82],"effectiveness":[84],"proposed":[87],"approach":[88],"negligible":[90],"impact":[91],"computational":[94],"cost.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":34},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":39},{"year":2018,"cited_by_count":11}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}